Felix Kluge
Senior Data Scientist
Experience
Feb 2022 - Oct 2024
2 years 9 months Basel, Switzerland
Senior Data Scientist
Novartis Pharma AG
- Led the implementation and validation of digital technology for real-world mobility assessment across clinical trials with high compliance rates
- Headed a cross-functional initiative that bridged clinical and data science teams, aligning digital technology integration with strategic goals
- Innovated algorithm development for sensor data analysis, leveraging time-series data to extract novel insights and improve predictive accuracy
- Designed and deployed predictive models using machine learning, integrating digital device data with clinical datasets
- Delivered strategic insights through the creation of dashboards and reports, ensuring effective data quality control and visualization for clinical trials
- Ensured reproducibility in data science workflows by establishing robust coding practices, comprehensive documentation, and version control
- Co-led exploratory statistical plans for digital biomarkers, advancing understanding and application of digital technologies in healthcare research
- Advised clinical teams as a subject-matter expert on digital technologies, fostering strategic integration and effective utilization in clinical trials
- Managed stakeholder engagement by collaborating with internal and external stakeholders, including contract research organizations and technology vendors
- Influenced decision-making by presenting analyses and findings to various management levels and stakeholders, emphasizing actionable insights and implications
- Disseminated knowledge through peer-reviewed publications
Oct 2018 - Dec 2021
3 years 3 months Erlangen, Germany
Junior Research Group Leader
FAU Erlangen-Nürnberg
- Led and mentored a team of eight PhD students, advancing research in digital health, gait analytics, and machine learning
- Directed interdisciplinary projects combining data science and biomedical engineering
- Collaborated with clinical and industry partners to translate research into practical applications, enhancing the development and adoption of digital health technologies
- Published and presented research findings in high-impact academic journals and at international conferences, contributing to advancements in digital biomarkers
- Secured research funding by successfully organizing and composing competitive grant proposals, enabling the continuation and expansion of research initiatives
- Taught undergraduate students through the course "Biomedical Signal Analysis", combining theory with practical healthcare applications
Jul 2012 - Sep 2018
6 years 3 months Erlangen, Germany
Doctoral Researcher
FAU Erlangen-Nürnberg
- Developed predictive models and personalized diagnostic tools for osteoarthritis using machine learning and biomechanical data
- Conducted gait analysis and assessed non-invasive interventions through motion capture, signal processing, and advanced analytics
- Designed and validated a video and sensor-based system for gait analysis in home applications
- Led and managed cross-disciplinary research projects focused on healthcare technology innovation
Summary
Accomplished Data Scientist with 10+ years of experience building, implementing, and validating digital solutions for health assessment. Successful project lead with a passion for digital transformation, leveraging cutting-edge technologies such as Machine Learning to drive innovation. Proven history of managing projects that ensure compliance with regulatory standards and deliver measurable improvements in health outcomes. Experienced in developing scalable, robust solutions that align with strategic initiatives to advance digital transformation in the industry.
Languages
German
Native
English
Advanced
French
Intermediate
Education
Jul 2012 - Jun 2018
FAU Erlangen-Nürnberg
Dr.-Ing. · Computer Science · Erlangen, Germany · very good
Oct 2010 - Jun 2012
Philipps-University Marburg
Master of Science · Physics · Marburg, Germany · 13.8/15 (very good)
Oct 2006 - Jun 2009